#MLOps #data #machinelearning
A 45-Minute Live Q&A with Salim Rahali
Date: Friday, May 14th
Time: 11:00am (EST)
Duration: 45 min
In 2021, it is estimated that at least 50% of machine learning projects will not be deployed, due to operational shortcomings (source: Gartner).
One of the major challenges companies face today when it comes to artificial intelligence (AI) is the implementation of machine learning. In other words, to take the operational steps to successfully implement these projects, with continuous deployment, in order ultimately to generate value for the company.
As a result, MLOps brings a strong proposition: to bring to machine learning projects the speed and agility of DevOps, in order to accelerate the implementation, and the profitability, of AI.
In this webinar, Neos will introduce you to the best practices and foundations of MLOps.
Technology leaders, data architects, data engineering and data science professionals.
Salim is passionate about data and has over 10 years of experience in data architecture and data science. Salim supports NEOS clients with their strategy and decisions regarding the use of their data, particularly in machine learning and artificial intelligence projects.
Customized solutions to help today’s businesses face the technological and human challenges of tomorrow.